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qRT-PCR evaluation of the transcriptional response of zebra mussel to heavy metals

Overview of attention for article published in BMC Genomics, May 2015
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Title
qRT-PCR evaluation of the transcriptional response of zebra mussel to heavy metals
Published in
BMC Genomics, May 2015
DOI 10.1186/s12864-015-1567-4
Pubmed ID
Authors

Joaquim Jaumot, Anna Navarro, Melissa Faria, Carlos Barata, Romà Tauler, Benjamín Piña

Abstract

The transcriptional response of adult zebra mussels (Dreissena polymorpha) to heavy metals (mercury, copper, and cadmium) was analyzed by quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) to study the coordinated regulation of different metal-, oxidative stress- and xenobiotic defence-related genes in gills and digestive gland. Regulatory network analyses allowed the comparison of this response between different species and taxa. Chemometric analyses allowed identifying the effects of these metals clearly separating control and treated samples of both tissues. Interactions between the different genes, either in the same or between both tissues, were analysed to identify correlations and to propose stress-related genes' regulatory networks. These networks were finally compared with existing data from human, mouse, zebrafish, Drosophila and the roundworm to evaluate their mechanistically-known response to metals (and to stressors in general) with the correlations observed in the still poorly-known, invasive zebra mussel. Our analyses found a general conservation of regulation genes and of their interactions among the different considered species, and may serve as a guide to extrapolate regulatory data from model species to lesser-known environmentally (or medically) relevant species.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 28%
Student > Ph. D. Student 4 14%
Student > Bachelor 3 10%
Student > Master 3 10%
Other 3 10%
Other 5 17%
Unknown 3 10%
Readers by discipline Count As %
Environmental Science 8 28%
Biochemistry, Genetics and Molecular Biology 5 17%
Agricultural and Biological Sciences 5 17%
Chemistry 2 7%
Neuroscience 1 3%
Other 1 3%
Unknown 7 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 May 2015.
All research outputs
#4,215,720
of 5,067,557 outputs
Outputs from BMC Genomics
#4,124
of 4,617 outputs
Outputs of similar age
#139,651
of 169,309 outputs
Outputs of similar age from BMC Genomics
#227
of 239 outputs
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